E-Commerce and Web Technologies 14th International Conference, EC-Web 2013, Prague, Czech Republic, August 27-28, 2013. Proceedings /
This book constitutes the refereed proceedings of the 14th International Conference on Electronic Commerce and Web Technologies (EC-Web) held in Prague, Czech Republic, in August 2013. In 2013, EC-Web focused on recommender systems, semantic e-business, business services and process management, and...
Corporate Author: | |
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Other Authors: | , |
Format: | Electronic |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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Series: | Lecture Notes in Business Information Processing,
152 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-39878-0 |
Table of Contents:
- Session 1: Opening
- BRF: A Framework of Retrieving Brand Names of Products in Auction Sites
- An Adaptive Social Influence Propagation Model Based on Local Network Topology
- Session 2: Semantics and Agents
- A Rule Based Personalized Location Information System for the Semantic Web
- DIESECT: A Distributed Environment for Simulating E-commerce Contracts
- Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies
- Session 3: Business Processes
- SDRule-L: Managing Semantically Rich Business Decision Processes
- A Hybrid Approach for Business Environment-Aware Management of Service-Based Business Processes
- Discovering Workflow-Aware Virtual Knowledge Flows for Knowledge Dissemination
- Session 4: Recommender I
- An Emotion Dimensional Model Based on Social Tags: Crossing Folksonomies and Enhancing Recommendations
- Cold-Start Management with Cross-Domain Collaborative Filtering and Tags
- UtilSim: Iteratively Helping Users Discover Their Preferences
- Session 5: Recommender II
- Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics
- Context-Aware Movie Recommendations: An Empirical Comparison of Pre-filtering, Post-filtering and Contextual Modeling Approaches
- Matching Ads in a Collaborative Advertising System
- Session 6: Recommender III
- Confidence on Collaborative Filtering and Trust-Based Recommendations
- Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study
- Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems
- Recommendations Based on Different Aspects of Influences in Social Media
- Robustness Analysis of Naive Bayesian Classifier-Based Collaborative Filtering.